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Combination of Complementary Features for Automatic Image Annotation
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 122 - Number 19 |
| Year of Publication: 2015 |
| Authors: Rekhil M Kumar, Sreekumar K |
10.5120/21809-5128
|
Rekhil M Kumar, Sreekumar K . Combination of Complementary Features for Automatic Image Annotation. International Journal of Computer Applications. 122, 19 ( July 2015), 21-27. DOI=10.5120/21809-5128
Abstract
Image annotation is a method for representing an image with a suitable keyword closer to its semantic concept. Automatically assigning relevant text keywords to image is an important problem. Many algorithms and combination of different features have been proposed in the past and achieved good performance. Efforts have focused upon many other fields and some predefined set of features in the area of Automatic image annotation. But properties of features and their complementing combinations have not been well investigated. In this paper the performance of different feature combinations are compared, and find out the one which outperforms the other combinations by applying the Fuzzy K-nearest neighbor algorithm as the classification method.
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